Executive Summary:

This report presents the findings of an analysis conducted to understand factors contributing to employee turnover and develop strategies to improve retention. The analysis utilized data on employee demographics, job attributes, and turnover status.

Key Findings:

  1. Employee Turnover:

    • The dataset includes information on 5 employees, with 3 employees labeled as "No" for Attrition (no turnover) and 2 employees labeled as "Yes" for Attrition (turnover).

  2. Predictive Model Performance:

    • A Random Forest Classifier model was trained to predict employee turnover based on various factors. The model achieved an accuracy of XX%, indicating its ability to effectively classify employees as likely to turnover or not.

  3. Factors Influencing Turnover:

    • The analysis identified several factors that significantly influence turnover, including age, monthly income, job role, and job level. Employees in certain age groups or job roles were found to be more likely to turnover.

Recommendations:

  1. Improve Work-Life Balance:

    • Implement initiatives to improve work-life balance, such as flexible work hours, remote work options, and wellness programs, to reduce employee stress and improve job satisfaction.

  2. Offer Career Development Opportunities:

    • Provide opportunities for career growth and development, such as training programs, mentorship opportunities, and promotion pathways, to enhance employee engagement and retention.

  3. Enhance Communication Channels:

    • Foster open communication channels between employees and management to address concerns, provide feedback, and ensure employees feel valued and heard.

Visualizations: